Mykola Mykhailych

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Generative Models — 12 citations into it
• Media Technology — 11 citations into it
• Artificial Intelligence — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Mykola Mykhailych trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ross B. Girshick
7. Karen Simonyan
8. Andrew Zisserman
9. Yann LeCun
10. Jia Deng

Papers from Mykola Mykhailych's perspective

Ordered by how strongly the researchers Mykola Mykhailych trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks (2017) — 1,703 citations